Senior AI/ML Solutions Lead

4400 Accenture S.p.A Company; Milano; On-site; EUR 67,000 - 95,000; Full time

Job summary

Accenture is seeking a Senior AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients. You will blend custom models with cloud and third-party AI services to deliver production-ready outcomes, spanning the full solution lifecycle from data assessment to deployment and MLOps.

Work with Deep Learning, Generative AI, and Large Language Models, building scalable data pipelines for training and production, and collaborating across business and

Qualifications

• Significant experience deploying AI/ML models in production at scale with monitoring and auditing.
• Experience with distributed computing and cloud environments.
• Proficiency in Python and AI/ML frameworks (TensorFlow, PyTorch).

Responsibilities

• Formulate real-world problems into practical, scalable AI/ML solutions.
• Develop and implement ML algorithms, models, and data pipelines for training and production with DevOps & MLOps.
• Customize DL and GenAI models to business needs, including edge and HPC considerations.
• Engage in R&D of AI and HPC algorithms and simulations for client use cases.
• Work with large-scale datasets and ensure high-quality inputs for training.
• Implement efficient data storage and retrieval for models and knowledge.
• Justify model approaches in business terms.
• Collaborate with business and technical teams to achieve end-to-end goals and production integration.

Skills

Python programming

ML/AI modeling

Cloud & DevOps

Stakeholder communication

Big data / HPC awareness

Education

Bachelor's Degree or equivalent

Tools

Python

C++

Java

R

SQL

TensorFlow

PyTorch

Job description

Accenture is seeking a Senior AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients. You will blend custom models with cloud and third-party AI services to deliver production-ready outcomes, spanning the full solution lifecycle from data assessment to deployment and MLOps.

Work with Deep Learning, Generative AI, and Large Language Models, building scalable data pipelines for training and production, and collaborating across business and